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1. Dynapenia and Metabolic Health in Obese and Nonobese Adults Aged 70 Years and Older: The LIFE Study

Author

Mylène Aubertin-Leheudre, Stephen Anton, Daniel P. Beavers, Todd M. Manini, Roger Fielding, Ann Newman, Tim Church, Stephen B. Kritchevsky, David Conroy, Mary M. McDermott, Anda Botoseneanu, Michelle E. Hauser, Marco Pahor, Thomas Gill, Carlos Fragoso, Jack M. Guralnik, Christiaan Leeuwenburgh, Connie Caudle, Lauren Crump, Latonia Holmes, Jocelyn Lee, Ching-ju Lu, Michael E. Miller, Mark A. Espeland, Walter T. Ambrosius, William Applegate, Robert P. Byington, Delilah Cook, Curt D. Furberg, Lea N. Harvin, Leora Henkin, Med John Hepler, Fang-Chi Hsu, Laura Lovato, Wesley Roberson, Julia Rushing, Scott Rushing, Cynthia L. Stowe, Michael P. Walkup, Don Hire, W. Jack Rejeski, Jeffrey A. Katula, Peter H. Brubaker, Shannon L. Mihalko, Janine M. Jennings, Evan C. Hadley, Sergei Romashkan, Kushang V. Patel, Denise Bonds, Bonnie Spring, Joshua Hauser, Diana Kerwin, Kathryn Domanchuk, Rex Graff, Alvito Rego, Timothy S. Church, Steven N. Blair, Valerie H. Myers, Ron Monce, Nathan E. Britt, Melissa Nauta Harris, Ami Parks McGucken, Ruben Rodarte, Heidi K. Millet, Catrine Tudor-Locke, Ben P. Butitta, Sheletta G. Donatto, Shannon H. Cocreham, Abby C. King, Cynthia M. Castro, William L. Haskell, Randall S. Stafford, Leslie A. Pruitt, Kathy Berra, Veronica Yank, Roger A. Fielding, Miriam E. Nelson, Sara C. Folta, Edward M. Phillips, Christine K. Liu, Erica C. McDavitt, Kieran F. Reid, Dylan R. Kirn, Evan P. Pasha, Won S. Kim, Vince E. Beard, Eleni X. Tsiroyannis, Cynthia Hau, Stephen D. Anton, Susan Nayfield, Thomas W. Buford, Michael Marsiske, Bhanuprasad D. Sandesara, Jeffrey D. Knaggs, Megan S. Lorow, William C. Marena, Irina Korytov, Holly L. Morris, Margo Fitch, Floris F. Singletary, Jackie Causer, Katie A. Radcliff, Anne B. Newman, Stephanie A. Studenski, Bret H. Goodpaster, Nancy W. Glynn, Oscar Lopez, Neelesh K. Nadkarni, Kathy Williams, Mark A. Newman, George Grove, Janet T. Bonk, Jennifer Rush, Piera Kost, Diane G. Ives, Anthony P. Marsh, Tina E. Brinkley, Jamehl S. Demons, Kaycee M. Sink, Kimberly Kennedy, Rachel Shertzer-Skinner, Abbie Wrights, Rose Fries, Deborah Barr, Thomas M. Gill, Robert S. Axtell, Susan S. Kashaf, Nathalie de Rekeneire, Joanne M. McGloin, Karen C. Wu, Denise M. Shepard, Barbara Fennelly, Lynne P. Iannone, Raeleen Mautner, Theresa Sweeney Barnett, Sean N. Halpin, Matthew J. Brennan, Julie A. Bugaj, Maria A. Zenoni, Bridget M. Mignosa, Jeff Williamson, Hugh C. Hendrie, Stephen R. Rapp, Joe Verghese, Nancy Woolard, Mark Espeland, Janine Jennings, Valerie K. Wilson, Carl J. Pepine, Mario Ariet, Eileen Handberg, Daniel Deluca, James Hill, Anita Szady, Geoffrey L. Chupp, Gail M. Flynn, John L. Hankinson, Carlos A. Vaz Fragoso, Erik J. Groessl, and Robert M. Kaplan

Subjects
Male, medicine.medical_specialty, Waist, Blood lipids, 030209 endocrinology & metabolism, 030204 cardiovascular system & hematology, Lower risk, Article, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, Muscle Strength, Obesity, General Nursing, Abdominal obesity, Aged, Aged, 80 and over, Metabolic Syndrome, business.industry, Health Policy, General Medicine, Odds ratio, medicine.disease, Endocrinology, Female, Waist Circumference, Geriatrics and Gerontology, Metabolic syndrome, medicine.symptom, business, Body mass index
Abstract

Objective The purpose of this study was to examine the relationship between dynapenia and metabolic risk factors in obese and nonobese older adults. Methods A total of 1453 men and women (age ≥70 years) from the Lifestyle Interventions and Independence for Elders (LIFE) Study were categorized as (1) nondynapenic/nonobese (NDYN-NO), (2) dynapenic/nonobese (DYN-NO), (3) nondynapenic/obese (NDYN-O), or (4) dynapenic/obese (DYN-O), based on muscle strength (Foundation for the National Institute of Health criteria) and body mass index. Dependent variables were blood lipids, fasting glucose, blood pressure, presence of at least 3 metabolic syndrome (MetS) criteria, and other chronic conditions. Results A significantly higher likelihood of having abdominal obesity criteria in NDYN-NO compared with DYN-NO groups (55.6 vs 45.1%, P ≤ .01) was observed. Waist circumference also was significantly higher in obese groups (DYN-O = 114.0 ± 12.9 and NDYN-O = 111.2 ± 13.1) than in nonobese (NDYN-NO = 93.1 ± 10.7 and DYN-NO = 92.2 ± 11.2, P ≤ .01); and higher in NDYN-O compared with DYN-O ( P = .008). Additionally, NDYN-O demonstrated higher diastolic blood pressure compared with DYN-O (70.9 ± 10.1 vs 67.7 ± 9.7, P ≤ .001). No significant differences were found across dynapenia and obesity status for all other metabolic components ( P > .05). The odds of having MetS or its individual components were similar in obese and nonobese, combined or not with dynapenia (nonsignificant odds ratio [95% confidence interval]). Conclusion Nonobese dynapenic older adults had fewer metabolic disease risk factors than nonobese and nondynapenic older adults. Moreover, among obese older adults, dynapenia was associated with lower risk of meeting MetS criteria for waist circumference and diastolic blood pressure. Additionally, the presence of dynapenia did not increase cardiometabolic disease risk in either obese or nonobese older adults.

Published
2017
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2. Predictors of Change in Physical Function in Older Adults in Response to Long-Term, Structured Physical Activity: The LIFE Study

Author

Andrew S. Layne, Fang-Chi Hsu, Steven N. Blair, Shyh-Huei Chen, Jennifer Dungan, Roger A. Fielding, Nancy W. Glynn, Alexandra M. Hajduk, Abby C. King, Todd M. Manini, Anthony P. Marsh, Marco Pahor, Christine A. Pellegrini, Thomas W. Buford, Jack M. Guralnik, Christiaan Leeuwenburgh, Connie Caudle, Lauren Crump, Latonia Holmes, Jocelyn Lee, Ching-ju Lu, Michael E. Miller, Mark A. Espeland, Walter T. Ambrosius, William Applegate, Daniel P. Beavers, Robert P. Byington, Delilah Cook, Curt D. Furberg, Lea N. Harvin, Leora Henkin, John Hepler, Laura Lovato, Wesley Roberson, Julia Rushing, Scott Rushing, Cynthia L. Stowe, Michael P. Walkup, Don Hire, W. Jack Rejeski, Jeffrey A. Katula, Peter H. Brubaker, Shannon L. Mihalko, Janine M. Jennings, Evan C. Hadley, Sergei Romashkan, Kushang V. Patel, Denise Bonds, Mary M. McDermott, Bonnie Spring, Joshua Hauser, Diana Kerwin, Kathryn Domanchuk, Rex Graff, Alvito Rego, Timothy S. Church, Valerie H. Myers, Ron Monce, Nathan E. Britt, Melissa Nauta Harris, Ami Parks McGucken, Ruben Rodarte, Heidi K. Millet, Catrine Tudor-Locke, Ben P. Butitta, Sheletta G. Donatto, Shannon H. Cocreham, Cynthia M. Castro, William L. Haskell, Randall S. Stafford, Leslie A. Pruitt, Kathy Berra, Veronica Yank, Miriam E. Nelson, Sara C. Folta, Edward M. Phillips, Christine K. Liu, Erica C. McDavitt, Kieran F. Reid, Won S. Kim, Vince E. Beard, Stephen D. Anton, Susan Nayfield, Michael Marsiske, Bhanuprasad D. Sandesara, Jeffrey D. Knaggs, Megan S. Lorow, William C. Marena, Irina Korytov, Holly L. Morris, Margo Fitch, Floris F. Singletary, Jackie Causer, Katie A. Radcliff, Anne B. Newman, Stephanie A. Studenski, Bret H. Goodpaster, Oscar Lopez, Neelesh K. Nadkarni, Kathy Williams, Mark A. Newman, George Grove, Janet T. Bonk, Jennifer Rush, Piera Kost, Diane G. Ives, Stephen B. Kritchevsky, Tina E. Brinkley, Jamehl S. Demons, Kaycee M. Sink, Kimberly Kennedy, Rachel Shertzer-Skinner, Abbie Wrights, Rose Fries, Deborah Barr, Thomas M. Gill, Robert S. Axtell, Susan S. Kashaf, Nathalie de Rekeneire, Joanne M. McGloin, Karen C. Wu, Denise M. Shepard, Barbara Fennelly, Lynne P. Iannone, Raeleen Mautner, Theresa Sweeney Barnett, Sean N. Halpin, Matthew J. Brennan, Julie A. Bugaj, Maria A. Zenoni, Bridget M. Mignosa, Jeff Williamson, Hugh C. Hendrie, Stephen R. Rapp, Joe Verghese, Nancy Woolard, Mark Espeland, Janine Jennings, Carl J. Pepine, Mario Ariet, Eileen Handberg, Daniel Deluca, James Hill, Anita Szady, Geoffrey L. Chupp, Gail M. Flynn, John L. Hankinson, Carlos A. Vaz Fragoso, Erik J. Groessl, and Robert M. Kaplan

Subjects
Gerontology, Male, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Psychological intervention, Physical activity, Physical Therapy, Sports Therapy and Rehabilitation, Blood Pressure, Article, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Accelerometry, medicine, Humans, 030212 general & internal medicine, Mobility Limitation, Exercise, Health Education, Aged, Aged, 80 and over, Rehabilitation, Hazard ratio, Age Factors, Resistance Training, Odds ratio, Confidence interval, Walking Speed, Lower Extremity, Physical therapy, Patient Compliance, Health education, Female, Sedentary Behavior, Psychology, Body mass index, 030217 neurology & neurosurgery, Physical Conditioning, Human
Abstract

To evaluate the extent of variability in functional responses in participants in the Lifestyle Interventions and Independence for Elders (LIFE) study and to identify the relative contributions of intervention adherence, physical activity, and demographic and health characteristics to this variability.Secondary analysis.Multicenter institutions.A volunteer sample (N=1635) of sedentary men and women aged 70 to 89 years who were able to walk 400m but had physical limitations, defined as a Short Physical Performance Battery (SPPB) score of ≤9.Moderate-intensity physical activity (n=818) consisting of aerobic, resistance, and flexibility exercises performed both center-based (2times/wk) and home-based (3-4times/wk) sessions or health education program (n=817) consisting of weekly to monthly workshops covering relevant health information.Physical function (gait speed over 400m) and lower extremity function (SPPB score) assessed at baseline and 6, 12, and 24 months.Greater baseline physical function (gait speed, SPPB score) was negatively associated with change in gait speed (regression coefficient β=-.185; P.001) and change in SPPB score (β=-.365; P.001), whereas higher number of steps per day measured by accelerometry was positively associated with change in gait speed (β=.035; P.001) and change in SPPB score (β=.525; P.001). Other baseline factors associated with positive change in gait speed and/or SPPB score include younger age (P.001), lower body mass index (P.001), and higher self-reported physical activity (P=.002).Several demographic and physical activity-related factors were associated with the extent of change in functional outcomes in participants in the LIFE study. These factors should be considered when designing interventions for improving physical function in older adults with limited mobility.

Published
2016

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